Showing 381 - 400 results of 1,165 for search 'agent’s state', query time: 0.11s Refine Results
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    Genotypic variability of Pinus sylvestris L. on the drought-resistance attribute by E. Yu. Amineva, A. P. Gureev, T. M. Tabatskaya, O. S. Mashkina, V. N. Popov

    Published 2019-02-01
    “…There are trees, in which the state the generative sphere in arid years is at the level of optimal years, and their callus cultures reaction remains unchanged even under simulated conditions of drought. …”
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    Study of possible intrauterine infection of goat fetus with caprine arthritis-encephalitis virus by V. Yu. Koptev, N. A. Shkil, N. Yu. Balybina, T. N. Belenkova

    Published 2024-12-01
    “…The disease is quite widespread in our country, causing serious economic damage to the backyard and family-operated farm owners. The etiologic agent of caprine arthritis-encephalitis (CAE) is a virus of the Retroviridae family, which is part of the group of small ruminant lentiviruses subdivided into five genetic groups. …”
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    A Strong Maneuvering Target-Tracking Filtering Based on Intelligent Algorithm by Jing Li, Xinru Liang, Shengzhi Yuan, Haiyan Li, Changsheng Gao

    Published 2024-01-01
    “…The algorithm can map the selection of the model set to the selection of the action label and realize the purpose of a deep reinforcement-learning agent to replace the model switching in the traditional VSMM algorithm by reasonably designing a reward function, state space, and network structure. …”
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    Hyperborea: The Arctic Myth of Contemporary Russian Radical Nationalists by Victor Shnirelman

    Published 2014-12-01
    “…This was viewed as an urgent task by ethnic Russian nationalists, who were dreaming of a ‘pure Russian country’, or at least of the privileged status of ethnic Russians within the Russian state. To mobilise people they picked up the obsolete Aryan myth rooted in both occult teachings and Nazi ideology and practice. …”
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    A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition by Shi-guang Yue, Peng Jiao, Ya-bing Zha, Quan-jun Yin

    Published 2015-01-01
    “…In experiments, we simulate agents’ movements in a combat field and employ agents’ traces to evaluate performances of the LHHSMM and LPF. …”
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